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https://github.com/SciCrunch/NIF-Ontology

The NIF Standard Ontology (NIFSTD) is a collection of modular ontologies that provides an extensive set of terms and concepts important for the domains of neuroscience and biology, as well as the data and resources relevant for the life sciences. It is a core component of the Neuroscience Information Framework (NIF) project, a semantically enhanced portal for accessing and integrating neuroscience data, tools and information.

Proper citation: NIFSTD (RRID:SCR_005414) Copy   

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http://enigma.ini.usc.edu/

Network that brings together researchers in imaging genomics, to understand brain structure and function, based on MRI, DTI, fMRI and genomewide association scan (GWAS) data. The ENIGMA Network has several goals: * to create a network of like-minded individuals, interested in pushing forward the field of imaging genetics * to ensure promising findings are replicated via member collaborations, in order to satisfy the mandates of most journals * to share ideas, algorithms, data, and information on promising findings or methods * to facilitate training, including workshops and conferences on key methods and emerging directions in imaging genetics. Data sharing with other members of the ENIGMA Network is optional and by no means a requirement of joining the network. Genetics and Imaging Protocols are available.

Proper citation: ENIGMA: Enhancing Neuro Imaging Genetics Through Meta-Analysis (RRID:SCR_005515) Copy   

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https://alleninstitute.org/

Non profit bioscience research organization in Seattle, Washington dedicated to accelerating research globally and sharing that data within the science community. Allen Institute for Brain Science, Allen Institute for Cell Science, Allen Institute for Immunology, and The Paul G. Allen Frontiers Group are four divisions of this Institute with commitment to open science model within its research institutes.

Proper citation: Allen Institute (RRID:SCR_005435) Copy   

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http://nlmfoundation.org/

The primary mission of the Nancy Lurie Marks (NLM) Family Foundation is to help people with autism lead fulfilling and rewarding lives. The Foundation is committed to understanding autism from a scientific perspective, increasing opportunities and services available to the autism community and educating the public about autism. In pursuit of its mission, the Foundation develops and provides grants to programs in research, clinical care, policy, advocacy and education. Founded by Nancy Lurie Marks over 25 years ago, the NLM Family Foundation is one of the largest supporters of initiatives in these areas. The principal goal of the scientific program is to achieve a deeper understanding of the biological basis of autism, focusing on genetics, synaptic chemistry, the neurobiology of communication, systems biology and the physiology of movement. The Foundation funds peer-reviewed research, the development of collaborative investigator projects, and research fellowship programs. Through sponsorship of scientific conferences, symposia and workshops, the Foundation seeks to encourage innovation and provide a springboard to generate new avenues of shared inquiry. The NLM Family Foundation supports programs which focus on novel ways to improve the communication and social abilities of those with autism. Other programs are designed to increase advocacy for legal rights and access to support services for persons with autism, and to increase community understanding and openness to inclusion through education and documentary films.

Proper citation: Nancy Lurie Marks Family Foundation (RRID:SCR_005455) Copy   

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http://www.musicianbrain.com/#index

The human brain has the remarkable ability to adapt in response to changes in the environment over the course of a lifetime. This is the mechanism for learning, growth, and normal development. Similar changes or adaptations can also occur in response to focal brain injuries, e.g., partially-adapted neighboring brain regions or functionally-related brain systems can either substitute for some of the lost function or develop alternative strategies to overcome a disability. Through ongoing research, the Music and Neuroimaging Laboratory''s mission is to: * Reveal the perceptual and cognitive aspects of music processing including the perception and memory for pitch, rhythmic, harmonic, and melodic stimuli. * Investigate the use of music and musical stimuli as an interventional tool for educational and therapeutic purposes. * Reveal the behavioral and neural correlates of learning, skill acquisition, and brain adaptation in response to changes in the environment or brain injury in the developing and adult brain. * Reveal the determinants and facilitators for recovery from brain injury. Project topics include: Aphasia Therapy, Singing and Speaking, Tone Deafness / Congenital Amusia, Motor Recovery Studies, Music and Emotions, Music and Autism, Children and Music Making, Brain Stimulation, Adult Musician Studies, Absolute Pitch Studies, Acute Stroke Studies

Proper citation: Music and Neuroimaging Laboratory (RRID:SCR_005447) Copy   

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http://pivotcollections.org/collection.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 4th, 2023. Mouse brains displayed in the Microsoft Silverlight PivotViewer from the Mouse Brain Library (MBL) which consist of high-resolution images of brains from many genetically characterized strains of mice. PivotViewer makes it easier to interact with massive amounts of data on the web in ways that are powerful, informative, and fun. By visualizing thousands of related items at once, users can see trends and patterns that would be hidden when looking at one item at a time. Because PivotViewer leverages Deep Zoom, it displays full, high-resolution content without long load times, while the animations and natural transitions provide context and prevent users from feeling overwhelmed by large quantities of information. This simple, inviting interaction model encourages exploration and longer audience engagement times, and applies broadly to a variety of content types.

Proper citation: MBL Pivot Collection (RRID:SCR_005506) Copy   

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http://gnif.org/

The GNIF is a non-profit charity organization for the advancement of neurological and mental health patient welfare, education, and research. We aim to further brain related studies, end mental health stigmatization and discrimination, improve the well-being of afflicted individuals, promote the free and open-access distribution of brain related information, and institute universal and multidisciplinary distance educational programs. The paramount GNIF mission is the betterment of neurological and mental health patient welfare, education, and research. With the development of novel free and open-access Therapeutic Recreational Centers, health promotion campaigns, and other charitable activities throughout the world, this organization can aid diagnosed individuals and their advocates. By presenting free and open-access information and educational courses via a distance, the GNIF aims to educate clinicians, teachers, scientists, patients, and the general public on neuroscience, medicine, psychology, biotechnology, and computer science. Moreover, the GNIF supports a variety of sound research programs ranging from biomedical to spiritual studies on the nature of the mind-body connection, biopsychosocial model of health and disease, and health psychology/behavioral medicine practices. The Global Neuroscience Initiative Foundation (GNIF) offers several projects and partnerships adherent to its missions. The following is an alphabetical listing of the GNIF Project Directory: * Brain Blogger * Brain Sciences & Neuropsychiatry * Distance Education Division * Ethics in Mental Health * Knowledge Center * Living with a Brain Disorder * Neuropsychiatry for Kids * Surgical Webcasts * Therapeutic Recreational Centers * Visual Brain Application

Proper citation: Global Neuroscience Initiative Foundation (RRID:SCR_005468) Copy   

•   Source: SciCrunch Registry

http://brainblogger.com/

With a team of over 80 contributors, this award winning collaborative health and science blog covers topics from multidimensional biopsychosocial perspectives. We review the most impactful news and research related to neuroscience / neurology, psychology / psychiatry, and health / healthcare. Our blog serves as a beacon for attracting new minds beyond the basic sciences of brain and into the biopsychosocial model. Founded in 2005 by Dr. Shaheen Lakhan, Brain Blogger is an official undertaking of the Global Neuroscience Initiative Foundation (GNIF) an international charity for the advancement of neurological and mental health patient welfare, education, and research. Brain Blogger is one of the most effective mediums for the GNIF to raise awareness of neuro-related topics. We are a proud member of the 9rules Network and the Scientific American Partner Network a handful of selected blogs that share similar interests and readership. Also, our commitment to ethical biomedical journalism is exemplified by successfully undergoing annual voluntary certification by HONcode the oldest and the most used ethical and trustworthy code for medical and health related information available on internet. Moreover, we are a member of the Healthcare Blogger Code of Ethics. Under the editorship of Dr. Shaheen Lakhan, Brain Blogger hosts a team of over 80 contributors from diverse academic, professional, and social backgrounds: including neurosurgeons (Dr. McCleary), psychotherapists (Mr. Yourell), forensic psychologists (Dr. MacHovec), registered nurses (Mrs. Jones), clinical pharmacists (Dr. Gibson), patient advocates (Mrs. Wilson-Herndon), and general citizens concerned about neurological and mental health (Mr. McIntyre). To join our team, please follow the simple instructions to sign-up online.

Proper citation: Brain Blogger (RRID:SCR_005464) Copy   

•   Source: SciCrunch Registry

http://neuromorphometrics.com

Neuromorphometrics provides brain labeling and measurement services. Given raw MRI brain scans, we make precise quantitative measurements of the volume, shape, and location of specific neuroanatomical structures. Web tool for brain measurement services. Used for modeling living human brain and make quantitative measurements of volume, shape, and location of specific neuroanatomical structures using given MRI brain scans. Automated analyses are manually guided, inspected and certified by a neuroanatomical expert. Resource of neuroanatomically labeled MRI brain scans database. Resource for neuroanatomical localization and identification: NeuAtlas.

Proper citation: Neuromorphometrics (RRID:SCR_005656) Copy   

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http://infocenter.nimh.nih.gov/il/public_il/

Database of photographs and illustrations of general biomedical research and research tools, mental health specific research, and treatment related images that are available, copyright free, to the public at no cost. Many images are available in low, medium, and high resolutions. Formats include jpg, gif, and png. NIMH images may not be used to state or imply the endorsement by NIMH or by an NIMH employee of a commercial product, service, or activity, or use in any other manner that might mislead. No fee is charged for using the images. However, credit must be given to the National Institute of Mental Health, National Institutes of Health, Department of Health and Human Services unless otherwise instructed to give credit to the photographer or other source., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: NIMH Image Library (RRID:SCR_005588) Copy   

•   Source: SciCrunch Registry

http://brain-development.org/

brain-development.org hosts data and resources used in computational analysis of brain development, including MRI data sets of developing human, software tools, atlases, protocols and software. Several different atlas datasets are available including: * Adult * Pediatric * Neonatal (T2 Templates, Probability Maps) * Neonatal (High-definition, T1 and T2 Templates, Probability Maps) * Fetal (High-definition, T2 Templates, Probability Maps) * Atlas software Anatomical segmentation protocols are available, as well as an Image Registration Toolkit.

Proper citation: brain-development.org (RRID:SCR_005838) Copy   

•   Source: SciCrunch Registry

http://brain-development.org/ixi-dataset/

Data set of nearly 600 MR images from normal, healthy subjects, along with demographic characteristics, collected as part of the Information eXtraction from Images (IXI) project available for download. Tar files containing T1, T2, PD, MRA and DTI (15 directions) scans from these subjects are available. The data has been collected at three different hospitals in London: * Hammersmith Hospital using a Philips 3T system * Guy''s Hospital using a Philips 1.5T system * Institute of Psychiatry using a GE 1.5T system

Proper citation: IXI dataset (RRID:SCR_005839) Copy   

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http://neuroviisas.med.uni-rostock.de/neuroviisas.html

An open framework for integrative data analysis, visualization and population simulations for the exploration of network dynamics on multiple levels. This generic platform allows the integration of neuroontologies, mapping functions for brain atlas development, and connectivity data administration; all of which are required for the analysis of structurally and neurobiologically realistic simulations of networks. What makes neuroVIISAS unique is the ability to integrate neuroontologies, image stacks, mappings, visualizations, analyzes and simulations to use them for modelling and simulations. Based on the analysis of over 2020 tracing studies, atlas terminologies and registered histological stacks of images, neuroVIISAS permits the definition of neurobiologically realistic networks that are transferred to the simulation engine NEST. The analysis on a local and global level, the visualization of connectivity data and the results of simulations offer new possibilities to study structural and functional relationships of neural networks. neuroVIISAS provide answers to questions like: # How can we assemble data of tracing studies? (Metastudy) # Is it possible to integrate tracing and brainmapping data? (Data Integration) # How does the network of analyzed tracing studies looks like? (Visualization) # Which graph theoretical properties posses such a network? (Analysis) # Can we perform population simulations of a tracing study based network? (Simulation and higher level data integration) neuroVIISAS can be used to organize mapping and connectivity data of central nervous systems of any species. The rat brain project of neuroVIISAS contains 450237 ipsi- and 175654 contralateral connections. A list of evaluated tracing studies are available. PyNEST script generation does work using WINDOWS OS, however, the script must be transferred to a UNIX OS with installed NEST. The results file of the NEST simulation can be visualized and analyzed by neuroVIISAS on a WINDOWS OS.

Proper citation: neuroVIISAS (RRID:SCR_006010) Copy   

•   Source: SciCrunch Registry

http://www.rad.upenn.edu/sbia/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 2, 2023. Software package used to simulate brain images with local growth / atrophy within a prescribed spherical region. Specifically, given an input image and its segmented image, the location of the center of the spherical region, and the radius of that sphere, it simulates new images that have tissue growth or shrinkage within that pre-specified brain region according to given rates (atrophy for rates less than one and growth for rates greater than one). The algorithm uses an iterative procedure that tries to achieve the given level of volumetric change for brain tissues within the region, by seeking a smooth deformation field, whose Jacobian determinants match the prescribed volume change rate within the region. Note that in the current software, the simulation of growth or atrophy for brain tissue requires that the input spherical region has to cover some CSF or background regions.

Proper citation: Atrophy Simulation Package (RRID:SCR_006046) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/toads-cruise/

A collection of software plug-ins developed for the automatic segmentation of magnetic resonance brain images. The tools include multiple published algorithms developed at Johns Hopkins University. The SPECTRE algorithm performs brain extraction. The TOADS algorithm generates a topology-preserving tissue classification into cortical, subcortical, and cerebellar structures. The CRUISE algorithm produces inner, central, and outer cortical surfaces suitable for computing thickness and other geometric measures. Tools are also included for performing gyral labeling, lesion segmentation, thickness computation, surface visualization, and surface file conversion. All tools are released as plug-ins for the MIPAV software package and were developed using the Java Image Science Toolkit (both available at NITRC: http://nitrc.org). They are therefore cross-platform and compatible with a wide variety of file formats.

Proper citation: TOADS-CRUISE Brain Segmentation Tools (RRID:SCR_005977) Copy   

•   Source: SciCrunch Registry

http://riodb.ibase.aist.go.jp/brain/index.php?LANG=ENG

Atlas of magnetic resonance images and histological sections of a Japanese monkey brain, Rhesus monkey and human. The Brain Explorer allows for display, magnification, and comparison these images. Other formats include a collection of .jpg images, Quicktime VR (allow user to zoom in), and EmonV, a voxel viewer for MacOS X.

Proper citation: Brain Atlas Database of Japanese Monkey for WWW (RRID:SCR_006104) Copy   

•   Source: SciCrunch Registry

http://songbirdtranscriptome.net/

Database containing cDNA clone information of the brains of songbirds. These clones are annotated with behavioral information, as well as links to information of homologous genes of other species. The database includes over 91,000 zebra finch brain cDNAs (2009) sequenced by Duke, ESTIMA, and Rockefeller research groups. The project is a collaborative effort of the Jarvis Laboratory of Duke University, Duke Bioinformatics, and The Genomics group of RIKEN, with Erich D. Jarvis as P.I. and Kazuhiro Wada as Co-P.I. Microarrays with the cDNAs in this database are available at Duke http://mgm.duke.edu/genome/dna_micro/core/spotted.htm and through the NIH Neurosciences Microarray Consortium http://arrayconsortium.tgen.org/np2/public/overview.jsp

Proper citation: Songbird Brain Transcriptome Database (RRID:SCR_006182) Copy   

•   Source: SciCrunch Registry

https://www.braintest.org/brain_test/BrainTest

A portal of online studies that encourage community participation to tackle the most challenging problems in neuropsychiatry, including attention-deficit / hyperactivity disorder, schizophrenia, and bipolar disorder. Our approach is to engage the community and try to recruit tens of thousands of people to spend an hour of their time on our site. You folks will provide data in both brain tests and questionnaires, as well as DNA, and in return, we will provide some information about your brain and behavior. You will also be entered to win amazon.com gift cards. While large collaborative efforts were made in genetics in order to discover the secrets of the human genome, there are still many mysteries about the behaviors that are seen in complex neuropsychiatric syndromes and the underlying biology that gives rise to these behaviors. We know that it will require studying tens of thousands of people to begin to answer these questions. Having you, the public, as a research partner is the only way to achieve that kind of investment. This site will try to reach that goal, by combining high-throughput behavioral assessment using questionnaires and game-like cognitive tests. You provide the data and then we will provide information and feedback about why you should help us achieve our goals and how it benefits everyone in the world. We believe that through this online study, we can better understand memory and attention behaviors in the general population and their genetic basis, which will in turn allow us to better characterize how these behaviors go awry in people who suffer from mental illness. In the end, we hope this will provide better, more personalized treatment options, and ultimately prevention of these widespread and extremely debilitating brain diseases. We will use the data we collect to try to identify the genetic basis for memory and impulse control, for example. If we can achieve this goal, maybe we can then do more targeted research to understand how the biology goes awry in people who have problems with cognition, including memory and impulse control, like those diagnosed with ADHD, Schizophrenia, Bipolar Disorder, and Autism Spectrum Disorders. By participating in our research, you can learn about mental illness and health and help researchers tackle these complex problems. We can''t do it without your help.

Proper citation: Brain Test (RRID:SCR_006212) Copy   

•   Source: SciCrunch Registry

http://www.mouseimaging.ca/

A unique resource and comprehensive imaging facility combining the latest state-of-the-art digital medical imaging technologies for the characterization of mouse functional genomics. The goals of the Mouse Imaging Centre are: * To provide a variety of medical imaging technologies adapted to studying genetically modified mice. These technologies include magnetic resonance (MR) imaging, micro computed tomography (micro-CT), ultrasound biomicroscopy (UBM), and optical projection tomography (OPT). * To screen large numbers of mice for models of human diseases. * To image an individual mouse over time to observe development, disease progression and responses to experimental treatment. * To develop an exciting team of investigators with expertise in imaging techniques, computer science, engineering, imaging processing, developmental biology and mouse pathology. * To work by collaboration with researchers throughout the world. When we look for human diseases in the human population, we make extensive use of medical imaging. Therefore, it makes sense to have available the same imaging capabilities as we investigate mice for models of human disease. The Mouse Imaging Centre (MICe) has developed high field magnetic resonance imaging microscopy, ultrasound biomicroscopy, micro computed tomography, and optical techniques. With these imaging tools, MICe is screening randomly mutagenized mice to look for phenotypes that represent human diseases and is taking established human disease models in mice and using imaging to follow the progression of disease and response to treatment over time. It is clear that imaging has a major contribution to make to phenotyping genetic variants and to characterizing mouse models. MICe is staffed by an exciting new team of about 30 investigators with expertise in imaging techniques, computer science, engineering, imaging processing, developmental biology and mouse pathology. The Mouse Imaging Centre (MICe) is not a fee-for-service facility but works through collaborations. Services include: * Projects involving MicroCT are available as a fee for service. * We will eventually move to the same model above with MRI. * Ultrasound Biomicroscopy is used for cardiac, embryo and cancer studies and is available as fee for service at $100 per study or in some cases on a collaborative basis. * Optical Projection Tomography has only limited availability on a collaborative basis. Mouse Atlas As our images are inherently three-dimensional, we will be able to make quantitative measures of size and volume. With this in mind, we are developing a mouse atlas showing the normal deviation of organ sizes. This atlas is an important resource for biologists as it has the potential to eliminate the need to sacrifice as many controls when making comparisons with mutants. Mouse Atlas Examples: * Variational Mouse Brain Atlas * Cerebral Vascular Atlas of the CBA Mouse * Neuroanatomy Atlas of the C57Bl/6j Mouse * Vascular Atlas of the Developing Mouse Embryo * Micro-CT E15.5 Mouse Embryo Atlas

Proper citation: MICe - Mouse Imaging Centre (RRID:SCR_006145) Copy   

•   Source: SciCrunch Registry

http://www.nature.com/jcbfm/index.html

The Journal of Cerebral Blood Flow & Metabolism stands at the interface between basic and clinical neurovascular research, and features timely and relevant research highlighting experimental, theoretical, and clinical aspects of brain circulation, metabolism and imaging. The journal is relevant to any physician or scientist with an interest in brain function, cerebrovascular disease, cerebral vascular regulation and brain metabolism, including neurologists, neurochemists, physiologists, pharmacologists, anesthesiologists, neuroradiologists, neurosurgeons, neuropathologists and neuroscientists. On this website, you will find the full text of articles published online weekly, in advance of print, the current issue and an archive of previous issues. You can also find general information about the journal, and more detailed information for readers, authors, referees, librarians, advertisers, and journalists. Most articles are published online before they appear in print. New papers are uploaded weekly to the Advance online publication (AOP) page. The online publication date is specified for each paper; these versions are identical to the printed version in every respect and may be cited using the digital object identifier (DOI).

Proper citation: Journal of Cerebral Blood Flow and Metabolism (RRID:SCR_001769) Copy   

•   Source: SciCrunch Registry